Manufacturing companies are continuously facing the challenge of redesigning and adjusting their manufacture systems. They adapt their process to produce goods adapted to specific requirements and produced under the minimum required production rate, guaranteeing high quality and limiting the use of resources in order to reduce production costs. Therefore, reducing waste, scraps and defects, as well as production costs and lead times will allow to increase productivity and hence, to pursue manufacturing excellence.

Nevertheless, current solutions show three major drawbacks: huge amount of data to manage during the manufacturing process; complexity of current solutions, not accessible for SMEs; Dynamic behaviour of the manufacturing factories; complexity of diverse, connected, interdependent entities which need suitable modelling and simulation approaches and data fusion techniques.

In this pilot, the data collected by the i4Q systems will allow to build a knowledge base to estimate the optimal working ranges of the machines and tools, anticipate maintenance, increasing the efficiency of the entire production system by reducing set-up times and a drastic reduction of incidents.

At Factor, we are committed to Industry 4.0 to boost efficiency and productivity in our high-precision CNC machining processes. Within this framework, we are implementing the i4Q system, a technology that will allow us to transform the way we manage our machinery and tools.